Nuowei Liu
2024
Chinese Essay Rhetoric Recognition and Understanding (CERRU)
Nuowei Liu
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Xinhao Chen
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Yupei Ren
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Man Lan
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Xiaopeng Bai
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Yuanbin Wu
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Shaoguang Mao
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Yan Xia
Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
“Rhetoric is fundamental to the reading comprehension and writing skills of primary and middle school students. However, current work independently recognize single coarse-grained categories or fine-grained categories. In this paper, we propose the CCL24-Eval Task6: Chinese Essay Rhetoric Recognition and Understanding (CERRU), consisting of 3 tracks: (1) Fine-grained Form-level Categories Recognition, (2) Fine-grained Content-level Categories Recognition and (3) Rhetorical Component Extraction. A total of 32 teams registered to participate in CERRU and 9 teams submitted evaluation results, with 7 of these teams achieving an overall score that surpassed the baseline.”
CERD: A Comprehensive Chinese Rhetoric Dataset for Rhetorical Understanding and Generation in Essays
Nuowei Liu
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Xinhao Chen
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Hongyi Wu
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Changzhi Sun
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Man Lan
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Yuanbin Wu
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Xiaopeng Bai
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Shaoguang Mao
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Yan Xia
Findings of the Association for Computational Linguistics: EMNLP 2024
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- Xiaopeng Bai 2
- Xinhao Chen 2
- Man Lan 2
- Shaoguang Mao 2
- Yuanbin Wu 2
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